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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 19216
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    Explanations

    numbers related to distance measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to distances measured in miles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    itative
    -0.77
    icum
    -0.71
    gotten
    -0.69
    ãĥ¤
    -0.67
    angered
    -0.67
     inval
    -0.63
     pse
    -0.63
    eer
    -0.63
    olith
    -0.62
    itives
    -0.62
    POSITIVE LOGITS
    bike
    0.94
     radius
    0.80
    cart
    0.77
     Cheong
    0.77
    cano
    0.76
     km
    0.76
     traveled
    0.76
     kilometers
    0.76
     mile
    0.75
    km
    0.75
    Activations Density 0.027%

    No Known Activations